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Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
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Blog
This blog highlights how the Pennsylvania Department of Human Services is addressing algorithm bias as part of a larger strategy to improve equity across all of the agency’s programs and activities, which were recently detailed in the state’s comprehensive Racial Equity Report.
Best Practices that show evidence of effectiveness in improving public health outcomes when implemented in multiple real-life settings, as indicated by achievement of aims consistent with the objectives of the activities.
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White Paper/Brief
To help policymakers and other stakeholders identify opportunities to improve health equity in their states, SHADAC has produced a set of data resources for the 50 states and the District of Columbia. Using the Behavioral Risk Factor Surveillance System (BRFSS) Survey — combining the three most recent years of data (2018–2020) to improve our ability to develop reliable state-level estimates for smaller population subgroups — SHADAC created maps and charts showing how states compare to the U.S. average in measures of people’s self-reported physical and mental health, and how people’s physical and mental health varies depending on their race and ethnicity, level of income, and age within each state.
Emerging Practices that show potential to achieve desirable public health outcomes in a specific real-life setting and produce early results that are consistent with the objectives of the activities and thus indicate effectiveness.
RELEASE DATE:
Data Collection Tool
The COVID Racial Data Tracker is a collaboration between the COVID Tracking Project and the Boston University Center for Antiracist Research. The tracker is a collection of race and ethnicity data on COVID-19 in the United States.
Promising Practices that show evidence of effectiveness in improving public health outcomes in a specific real-life setting, as indicated by achievement of aims consistent with the objectives of the activities, and are suitable for adaptation by other communities.
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Data Collection Tool
The Mapping Medicare Disparities (MMD) Population View provides a user-friendly way to explore and better understand disparities in chronic diseases, and allows users to: (1) visualize health outcome measures at a national, state, or county level; (2) explore health outcome measures by age, sex, race and ethnicity; (3) compare differences between two geographic locations (e.g., benchmark against the national average); and (4) compare differences between two racial and ethnic groups within the same geographic area.